TY  - JOUR
AU  - Rajković, Miloš
AU  - Zrnić, Nenad
AU  - Kosanić, Nenad
AU  - Borovinšek, Matej
AU  - Lerher, Tone
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3245
AB  - A new optimization model of Automated Storage and Retrieval Systems (AS/RS) containing three objective and four constraint functions is presented in this paper. Majority of the researchers and publications in material handling field had performed optimization of different decision variables, but with single objective function only. Most common functions are: minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc. To perform the simultaneous optimization of objective functions (minimum: "investment expenses", "cycle times", "CO2 footprint") the Non-dominated Sorting Genetic Algorithm II (NSGA II) was used. The NSGA II is a tool for finding the Pareto optimal solutions on the Pareto line. Determining the performance of the system is the main goal of our model. Since AS/RS are not flexible in terms of layout and organizational changes once the system is up and running, the proposed model could be a very helpful tool for the warehouse planners in the early stages of warehouse design.
PB  - Vilnius Gediminas Tech Univ, Vilnius
T2  - Transport
T1  - A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems
EP  - 286
IS  - 2
SP  - 275
VL  - 34
DO  - 10.3846/transport.2019.9686
ER  - 

@article{
author = "Rajković, Miloš and Zrnić, Nenad and Kosanić, Nenad and Borovinšek, Matej and Lerher, Tone",
year = "2019",
abstract = "A new optimization model of Automated Storage and Retrieval Systems (AS/RS) containing three objective and four constraint functions is presented in this paper. Majority of the researchers and publications in material handling field had performed optimization of different decision variables, but with single objective function only. Most common functions are: minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc. To perform the simultaneous optimization of objective functions (minimum: "investment expenses", "cycle times", "CO2 footprint") the Non-dominated Sorting Genetic Algorithm II (NSGA II) was used. The NSGA II is a tool for finding the Pareto optimal solutions on the Pareto line. Determining the performance of the system is the main goal of our model. Since AS/RS are not flexible in terms of layout and organizational changes once the system is up and running, the proposed model could be a very helpful tool for the warehouse planners in the early stages of warehouse design.",
publisher = "Vilnius Gediminas Tech Univ, Vilnius",
journal = "Transport",
title = "A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems",
pages = "286-275",
number = "2",
volume = "34",
doi = "10.3846/transport.2019.9686"
}

Rajković, M., Zrnić, N., Kosanić, N., Borovinšek, M.,& Lerher, T.. (2019). A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems. in Transport
Vilnius Gediminas Tech Univ, Vilnius., 34(2), 275-286.
https://doi.org/10.3846/transport.2019.9686

Rajković M, Zrnić N, Kosanić N, Borovinšek M, Lerher T. A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems. in Transport. 2019;34(2):275-286.
doi:10.3846/transport.2019.9686 .

Rajković, Miloš, Zrnić, Nenad, Kosanić, Nenad, Borovinšek, Matej, Lerher, Tone, "A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems" in Transport, 34, no. 2 (2019):275-286,
https://doi.org/10.3846/transport.2019.9686 . .

TY  - CONF
AU  - Rajković, Miloš
AU  - Zrnić, Nenad
AU  - Kosanić, Nenad
AU  - Borovinšek, Matej
AU  - Lerher, Tone
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/6277
AB  - In the following paper, a new multi-objective optimization model for optimizing performances, costs and energy consumption of an automated storage and retrieval system with double-deep storage rack, will be presented. While majority of literature considers single objective function at a time, this model simultaneously optimizes three objective functions (minimum: investment costs, cycle time, CO2 emission) for a double-deep AS/RS. Analyses are performed in regard to different fillgrade factor of SR. For optimization, NSGA II algorithm is used as a tool to find Pareto optimal solutions. Since AS/RS require high initial investments, and are not flexible in terms of layout or other organizational changes once to system is built, this model could potentially be a very useful tool for warehouse designers in initial stages of planning.
PB  - University of Belgrade, Faculty of Mechanical Engineering
C3  - Proceedings of the XXII International Conference MHCL 2017
T1  - Multi-objective optimization model for double-deep automated storage and retrieval systems
EP  - 194
SP  - 189
UR  - https://hdl.handle.net/21.15107/rcub_machinery_6277
ER  - 

@conference{
author = "Rajković, Miloš and Zrnić, Nenad and Kosanić, Nenad and Borovinšek, Matej and Lerher, Tone",
year = "2017",
abstract = "In the following paper, a new multi-objective optimization model for optimizing performances, costs and energy consumption of an automated storage and retrieval system with double-deep storage rack, will be presented. While majority of literature considers single objective function at a time, this model simultaneously optimizes three objective functions (minimum: investment costs, cycle time, CO2 emission) for a double-deep AS/RS. Analyses are performed in regard to different fillgrade factor of SR. For optimization, NSGA II algorithm is used as a tool to find Pareto optimal solutions. Since AS/RS require high initial investments, and are not flexible in terms of layout or other organizational changes once to system is built, this model could potentially be a very useful tool for warehouse designers in initial stages of planning.",
publisher = "University of Belgrade, Faculty of Mechanical Engineering",
journal = "Proceedings of the XXII International Conference MHCL 2017",
title = "Multi-objective optimization model for double-deep automated storage and retrieval systems",
pages = "194-189",
url = "https://hdl.handle.net/21.15107/rcub_machinery_6277"
}

Rajković, M., Zrnić, N., Kosanić, N., Borovinšek, M.,& Lerher, T.. (2017). Multi-objective optimization model for double-deep automated storage and retrieval systems. in Proceedings of the XXII International Conference MHCL 2017
University of Belgrade, Faculty of Mechanical Engineering., 189-194.
https://hdl.handle.net/21.15107/rcub_machinery_6277

Rajković M, Zrnić N, Kosanić N, Borovinšek M, Lerher T. Multi-objective optimization model for double-deep automated storage and retrieval systems. in Proceedings of the XXII International Conference MHCL 2017. 2017;:189-194.
https://hdl.handle.net/21.15107/rcub_machinery_6277 .

Rajković, Miloš, Zrnić, Nenad, Kosanić, Nenad, Borovinšek, Matej, Lerher, Tone, "Multi-objective optimization model for double-deep automated storage and retrieval systems" in Proceedings of the XXII International Conference MHCL 2017 (2017):189-194,
https://hdl.handle.net/21.15107/rcub_machinery_6277 .

TY  - JOUR
AU  - Rajković, Miloš
AU  - Zrnić, Nenad
AU  - Kosanić, Nenad
AU  - Borovinšek, Matej
AU  - Lerher, Tone
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2553
AB  - U predstavljenom radu, diskutovano je i vršena je evaluacija višeciljne optimizacije automatskih skladišnih sistema. S obzirom da je većina istraživača u oblasti manipulacije materijalom i logistici, vršila optimizaciju promenljivih samo sa jednom funkcijom cilja (najčešće je to funkcija minimalno vreme ciklusa, maksimalni intenzitet opsluživanja, minimalna cena, tj. troškovi, maksimalna energetska efikasnost, itd.), predložen je model višeciljne optimizacije (sa trima funkcijama cilja: minimalni troškovi - minimalno vreme ciklusa - minimalna emisija CO2, odnosno maksimalna energetska efikasnost). Za optimizaciju promenljivih u funkcijama cilja, korišćeni su genetski algoritmi. Da bismo pronašli optimalna Pareto rešenja, upotrebili smo NSGA II genetske algoritme. Glavni zadatak našeg doprinosa jeste da se utvrde performanse automatskog skladišnog sistema, u skladu sa procedurom višeciljne optimizacije. Rezultati predloženog modela, mogu biti od koristi projektantima u ranim fazama projektovanja automatskog skladišnog sistema.
AB  - A multi-objective optimization of automated warehouses is discussed and evaluated in the present paper. Since most of the researchers in material handling community had performed optimization of decision variables with single objective function only (usually named with minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc.), the multi-objective optimization (cost - travel time - CO2 emission/ energy efficiency) will be presented. For the optimization of decision variables in objective functions, the method with genetic algorithms was used. To find the Pareto optimal solutions, the NSGA II genetic algorithm was used. The main objective of our contribution is to determine the performance of the system according to the multi-objective optimization technique. The results of the proposed model could be useful tool for the warehouse designer in the early stage of warehouse design.
PB  - Univerzitet u Beogradu - Mašinski fakultet, Beograd
T2  - FME Transactions
T1  - Višeciljni optimizacioni model za minimiziranje troškova, vremena ciklusa i emisije Co2 u automatskom skladišnom sistemu
T1  - A multi-objective optimization model for minimizing cost, travel time and Co2 emission in an AS/RS
EP  - 629
IS  - 4
SP  - 620
VL  - 45
DO  - 10.5937/fmet1704620R
ER  - 

@article{
author = "Rajković, Miloš and Zrnić, Nenad and Kosanić, Nenad and Borovinšek, Matej and Lerher, Tone",
year = "2017",
abstract = "U predstavljenom radu, diskutovano je i vršena je evaluacija višeciljne optimizacije automatskih skladišnih sistema. S obzirom da je većina istraživača u oblasti manipulacije materijalom i logistici, vršila optimizaciju promenljivih samo sa jednom funkcijom cilja (najčešće je to funkcija minimalno vreme ciklusa, maksimalni intenzitet opsluživanja, minimalna cena, tj. troškovi, maksimalna energetska efikasnost, itd.), predložen je model višeciljne optimizacije (sa trima funkcijama cilja: minimalni troškovi - minimalno vreme ciklusa - minimalna emisija CO2, odnosno maksimalna energetska efikasnost). Za optimizaciju promenljivih u funkcijama cilja, korišćeni su genetski algoritmi. Da bismo pronašli optimalna Pareto rešenja, upotrebili smo NSGA II genetske algoritme. Glavni zadatak našeg doprinosa jeste da se utvrde performanse automatskog skladišnog sistema, u skladu sa procedurom višeciljne optimizacije. Rezultati predloženog modela, mogu biti od koristi projektantima u ranim fazama projektovanja automatskog skladišnog sistema., A multi-objective optimization of automated warehouses is discussed and evaluated in the present paper. Since most of the researchers in material handling community had performed optimization of decision variables with single objective function only (usually named with minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc.), the multi-objective optimization (cost - travel time - CO2 emission/ energy efficiency) will be presented. For the optimization of decision variables in objective functions, the method with genetic algorithms was used. To find the Pareto optimal solutions, the NSGA II genetic algorithm was used. The main objective of our contribution is to determine the performance of the system according to the multi-objective optimization technique. The results of the proposed model could be useful tool for the warehouse designer in the early stage of warehouse design.",
publisher = "Univerzitet u Beogradu - Mašinski fakultet, Beograd",
journal = "FME Transactions",
title = "Višeciljni optimizacioni model za minimiziranje troškova, vremena ciklusa i emisije Co2 u automatskom skladišnom sistemu, A multi-objective optimization model for minimizing cost, travel time and Co2 emission in an AS/RS",
pages = "629-620",
number = "4",
volume = "45",
doi = "10.5937/fmet1704620R"
}

Rajković, M., Zrnić, N., Kosanić, N., Borovinšek, M.,& Lerher, T.. (2017). Višeciljni optimizacioni model za minimiziranje troškova, vremena ciklusa i emisije Co2 u automatskom skladišnom sistemu. in FME Transactions
Univerzitet u Beogradu - Mašinski fakultet, Beograd., 45(4), 620-629.
https://doi.org/10.5937/fmet1704620R

Rajković M, Zrnić N, Kosanić N, Borovinšek M, Lerher T. Višeciljni optimizacioni model za minimiziranje troškova, vremena ciklusa i emisije Co2 u automatskom skladišnom sistemu. in FME Transactions. 2017;45(4):620-629.
doi:10.5937/fmet1704620R .

Rajković, Miloš, Zrnić, Nenad, Kosanić, Nenad, Borovinšek, Matej, Lerher, Tone, "Višeciljni optimizacioni model za minimiziranje troškova, vremena ciklusa i emisije Co2 u automatskom skladišnom sistemu" in FME Transactions, 45, no. 4 (2017):620-629,
https://doi.org/10.5937/fmet1704620R . .

TY  - CONF
AU  - Kosanić, Nenad
AU  - Rajković, Miloš
AU  - Zrnić, Nenad
PY  - 2012
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/6257
AB  - Growing awareness of environmental problems, and in particular with well-published issues such as acid rain, chlorofluorocarbons (CFCs) and global warming, “greenness” become a catchword in logistic as a heart of modern transport systems since early of 1990s. To overcome these
problems new field of logistic research is emerging, focusing on the adaptation of logistical systems and supply chains to climate change. Therefore, it is a trend in intralogistics sector in recent years to invest more in green technologies. In the last few years, the success from fuel cell
demonstrations has moved rapidly into commercial forklift operations. This paper addresses the potential benefits in using the fuel cells and triple hybrid drives in forklift trucks as a field of potential improvements in intralogistic.
PB  - University of Belgrade, Faculty of Mechanical Engineering
C3  - Proceedings of  the 20th International Conference on Material Handling MHCL 2012
T1  - Alternative energy sources for forklifts – a way to make intralogistics green
EP  - 256
SP  - 251
UR  - https://hdl.handle.net/21.15107/rcub_machinery_6257
ER  - 

@conference{
author = "Kosanić, Nenad and Rajković, Miloš and Zrnić, Nenad",
year = "2012",
abstract = "Growing awareness of environmental problems, and in particular with well-published issues such as acid rain, chlorofluorocarbons (CFCs) and global warming, “greenness” become a catchword in logistic as a heart of modern transport systems since early of 1990s. To overcome these
problems new field of logistic research is emerging, focusing on the adaptation of logistical systems and supply chains to climate change. Therefore, it is a trend in intralogistics sector in recent years to invest more in green technologies. In the last few years, the success from fuel cell
demonstrations has moved rapidly into commercial forklift operations. This paper addresses the potential benefits in using the fuel cells and triple hybrid drives in forklift trucks as a field of potential improvements in intralogistic.",
publisher = "University of Belgrade, Faculty of Mechanical Engineering",
journal = "Proceedings of  the 20th International Conference on Material Handling MHCL 2012",
title = "Alternative energy sources for forklifts – a way to make intralogistics green",
pages = "256-251",
url = "https://hdl.handle.net/21.15107/rcub_machinery_6257"
}

Kosanić, N., Rajković, M.,& Zrnić, N.. (2012). Alternative energy sources for forklifts – a way to make intralogistics green. in Proceedings of  the 20th International Conference on Material Handling MHCL 2012
University of Belgrade, Faculty of Mechanical Engineering., 251-256.
https://hdl.handle.net/21.15107/rcub_machinery_6257

Kosanić N, Rajković M, Zrnić N. Alternative energy sources for forklifts – a way to make intralogistics green. in Proceedings of  the 20th International Conference on Material Handling MHCL 2012. 2012;:251-256.
https://hdl.handle.net/21.15107/rcub_machinery_6257 .

Kosanić, Nenad, Rajković, Miloš, Zrnić, Nenad, "Alternative energy sources for forklifts – a way to make intralogistics green" in Proceedings of  the 20th International Conference on Material Handling MHCL 2012 (2012):251-256,
https://hdl.handle.net/21.15107/rcub_machinery_6257 .